{"id":3157,"date":"2023-09-08T17:50:15","date_gmt":"2023-09-08T17:50:15","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2023\/09\/08\/nvidia-partners-with-india-giants-to-advance-ai-in-worlds-most-populous-nation\/"},"modified":"2023-09-08T17:50:15","modified_gmt":"2023-09-08T17:50:15","slug":"nvidia-partners-with-india-giants-to-advance-ai-in-worlds-most-populous-nation","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2023\/09\/08\/nvidia-partners-with-india-giants-to-advance-ai-in-worlds-most-populous-nation\/","title":{"rendered":"NVIDIA Partners with India Giants to Advance AI in World\u2019s Most Populous Nation"},"content":{"rendered":"<div data-url=\"https:\/\/blogs.nvidia.com\/blog\/2023\/09\/08\/nvidia-india-giants-ai\/\" data-title=\"NVIDIA Partners with India Giants to Advance AI in World\u2019s Most Populous Nation\" data-hashtags=\"\">\n<p>The world\u2019s largest democracy is poised to transform itself and the world, embracing AI on an enormous scale.<\/p>\n<p>Speaking with the press Friday in Bengaluru, in the context of announcements from two of India\u2019s largest conglomerates, <a href=\"https:\/\/nvidianews.nvidia.com\/news\/reliance-and-nvidia-partner-to-advance-ai-in-india-for-india\">Reliance Industries Limited<\/a> and <a href=\"https:\/\/nvidianews.nvidia.com\/news\/tata-partners-with-nvidia-to-build-large-scale-ai-infrastructure\">Tata Group<\/a>, NVIDIA founder and CEO Jensen Huang detailed plans to bring AI technology and skills to address the world\u2019s most populous nation\u2019s greatest challenges.<\/p>\n<p>\u201cI think this is going to be one of the largest AI markets in the world,\u201d said Huang, who was wrapping up a week of high-level meetings across the nation, including <a href=\"https:\/\/blogs.nvidia.com\/blog\/2023\/09\/04\/modi-huang-india\/\">with Prime Minister Narendra Modi<\/a>, leading AI researchers, top business leaders, the press and the country\u2019s 4,000-some NVIDIA employees.<\/p>\n<p>The companies will work together to create an AI computing infrastructure and platforms for developing AI solutions. It will be based on NVIDIA technology like the NVIDIA GH200 Grace Hopper Superchip and NVIDIA DGX Cloud.<\/p>\n<p>GH200 marks a fundamental shift in computing architecture that provides exceptional performance and massive memory bandwidth, while DGX Cloud, an AI supercomputing service in the cloud, makes it easier for enterprises to train their employees in AI technology, access the technology internally and provide generative AI services to customers.<\/p>\n<p>In his exchange with more than a dozen of India\u2019s top tech journalists following the announcement, Huang said computer science expertise is a core competency for India, and that with access to technology and capital India is poised to build AI to be able to solve challenges at home and abroad.<\/p>\n<p>\u201cYou have the data, you have the talent,\u201d Huang said. \u201cWe are open for business and bring great expertise on building supercomputers.<\/p>\n<p>During the freewheeling back and forth with the media, Hiuang emphasized India\u2019s strength in information technology and the potential for AI to accelerate the development of India\u2019s IT industry.<\/p>\n<p>\u201cIT is one of your natural resources. You produce it at an incredible scale. You\u2019re incredibly good at it. You export it all over the world,\u201d Huang said.<\/p>\n<h2>India\u2019s \u201cAI Moment\u201d<\/h2>\n<p>Earlier, after meeting with many of the region\u2019s top technology leaders \u2014 including startup pioneers, AI proponents, and key players in India\u2019s digital public infrastructure \u2014 Huang hailed \u201cIndia\u2019s moment,\u201d saying the nationis on the cusp of becoming a global AI powerhouse.<\/p>\n<figure id=\"attachment_66773\" aria-describedby=\"caption-attachment-66773\" class=\"wp-caption aligncenter\">\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2023\/09\/JHH-Nandan-Nilekani-672x448.jpg\" alt=\"\" width=\"672\" height=\"448\"><figcaption id=\"caption-attachment-66773\" class=\"wp-caption-text\">NVIDIA CEO Jensen Huang with Nandan Nilekani, founder of Infosys and founding chairman of UIDAI during a meeting with key Indian tech leaders.<\/figcaption><\/figure>\n<p>While India has well-known technical capabilities \u2014 distinguished technical universities, 2,500 engineering colleges and an estimated 1.5 million engineers \u2014 many of its 1.4 billion people, located across sprawling metropolitan areas and some 650,000 villages, collectively speaking dozens of languages, have yet to fully benefit from this progress.<\/p>\n<p>Applied in the Indian context, AI can help rural farmers interact via cell phones in their local language to get weather information and crop prices. It can help provide, at a massive scale, expert diagnosis of medical symptoms and imaging scans where doctors may not be immediately available. It can better predict cyclonic storms using decades of atmospheric data, enabling those at risk to more quickly evacuate and find shelter.<\/p>\n<p>Reliance Industries and Tata Communications will build and operate state-of-the-art AI supercomputing data centers based on such technology, utilizing it for internal AI development and infrastructure-as-a-service for India\u2019s AI researchers, companies and burgeoning AI startup ecosystem.<\/p>\n<p>That effort, Huang said, during his conversation with the Indian technology press, promises to be part of a process that will turn India into a beacon for AI technology.<\/p>\n<p>\u201cAI could be built in India, used in India, and exported from India,\u201d Huang said.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/2023\/09\/08\/nvidia-india-giants-ai\/<\/p>\n","protected":false},"author":0,"featured_media":3158,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3157"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=3157"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3157\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/3158"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=3157"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=3157"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=3157"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}